Description Usage Arguments Details Data type Version Date submitted Author(s) See Also
Apply the stochastic spatial thinning algorithm implemented in the spThin package to presence data in a presence-background dataset
1 | spThin(.data, thin = 50)
|
.data |
Internal parameter, do not use in the workflow function. |
thin |
Thinning parameter - the required minimum distance (in kilometres) between points after applying the thinning procedure |
Full details of the algorithm are available in the open-access article by Aiello-Lammens et al. (2015): dx.doi.org/10.1111/ecog.01132
presence-only
0.1
2017-11-23
Nick Golding, nick.golding.research@gmail.com
Other process: AddRandomUniformPredictors
,
BackgroundAndCrossvalid
,
Background
, Bootstrap
,
CarolinaWrenValidation
,
Clean
, Crossvalidate
,
JitterOccurrence
,
LonLatToCovariates
, MESSMask
,
NoProcess
,
OneHundredBackground
,
OneThousandBackground
,
PartitionDisc
, RemoveNAs
,
StandardiseCov
,
SubsampleOccurrence
,
TargetGroupBackground
,
Transform
, addInteraction
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